java math expression parser is faster than JEP
"Javascript Expression Parser" (JEP) is tiny library used to evaluate expression to javascript function
JPyxie is a Java integration for executing Python scripts efficiently, with support for REST, gRPC, Process API, JEP, Jython, and GraalPy. The project goal is to make Python integration as easy as it is able to be. Also, there is integration with the Spring ecosystem.
latest update
An extension of the Java Expression Parser library with useful functions for data handling
Full featured JSON Parser, Data Model, and JSON Path integration
工具jar包
Diligently track and post JEP updates on Bluesky
Python SDK seed for creating and verifying JEP v0.6 events through the JEP API.
Experimental agent trace recorder for JEP/HJS/JAC incident review and chain reconstruction.
HJS v0.5: JEP-aware accountability receipts, archive metadata, privacy, redaction, and evidence lifecycle.
Research papers and exploratory scenario corpus for the JEP/HJS/JAC protocol stack.
Web application for summarize articles from the biggest news services.
GitHub Action seed for generating JEP v0.6 event artifacts from pull requests, issues, and workflow events.
JEP API v0.6 seed: FastAPI service for creating and verifying JEP-Core events with Ed25519, detached JWS shape, ext/ext_crit, event hashes, and validation results.
Command-line tool for creating and verifying JEP v0.6 events through the JEP API.
JAC v0.5: JEP/HJS declared dependency chains, chain fragments, observed-log assumptions, and accountability paths.
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